A practical guide to understanding and solving NLP problems with Flair
Tadej Magajna
BIRMINGHAM—MUMBAI
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ISBN 978-1-80107-231-1
Tadej Magajna is a former lead machine learning engineer, former data scientist, and now a software engineer at Microsoft. He currently works in a team responsible for language model training and building language packs for keyboards such as Microsoft SwiftKey. He has a master's degree in computer science. He started his career as a 15-year-old at a local media company as a web developer and progressed toward more complex problems. He has tackled problems such as NLP market research, public transport bus and train capacity forecasting, and finally, language model training in his current role. Currently, he is based in his hometown of Ljubljana, Slovenia.
After studying engineering and physics, Pascal Tartarin held various senior management positions (sales, marketing, and R&D) mainly in the chemical and medical device industries in Europe and Asia Pacific. A keen lifelong learner, he later developed his expertise in data science and NLP. Over the last 6 years, he has built applications in the field of business (forecasts, CRM) based on ML, deep learning, NLP, and more recently, knowledge graphs (Neo4j).
Amardeep Kumar has sound experience in Natural Language Processing and machine learning systems. He has industry experience of 2 years working on different technical stacks in NLP and software development. Amardeep regularly contributes to open source software development as a developer, mentor, and reviewer in Google Summer of Code programs. He has published research papers for top-tier NLP-proc conferences, such as ACL and EMNLP.
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